- Patent Title: System and method for addressing overfitting in a neural network
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Application No.: US15222870Application Date: 2016-07-28
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Publication No.: US10366329B2Publication Date: 2019-07-30
- Inventor: Geoffrey E. Hinton , Alexander Krizhevsky , Ilya Sutskever , Nitish Srivastava
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; G06K9/46

Abstract:
A system for training a neural network. A switch is linked to feature detectors in at least some of the layers of the neural network. For each training case, the switch randomly selectively disables each of the feature detectors in accordance with a preconfigured probability. The weights from each training case are then normalized for applying the neural network to test data.
Public/Granted literature
- US20160335540A1 SYSTEM AND METHOD FOR ADDRESSING OVERFITTING IN A NEURAL NETWORK Public/Granted day:2016-11-17
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